Parallel Combinatorial Optimization

Author:   El-Ghazali Talbi (University of Lille, Villeneuve d'Aseq, France)
Publisher:   John Wiley & Sons Inc
ISBN:  

9780471721017


Pages:   352
Publication Date:   03 November 2006
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Parallel Combinatorial Optimization


Overview

This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization, including details and findings of recent and ongoing investigations.

Full Product Details

Author:   El-Ghazali Talbi (University of Lille, Villeneuve d'Aseq, France)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Interscience
Dimensions:   Width: 16.30cm , Height: 2.30cm , Length: 24.40cm
Weight:   0.617kg
ISBN:  

9780471721017


ISBN 10:   0471721018
Pages:   352
Publication Date:   03 November 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Reviews

The target audience will learn a lot from the book, and I hope they will be inspired... (Computing Reviews.com, May 30, 2007)


Author Information

EL-GHAZALI TALBI, PHD, is Professor in the Computer Science Laboratory of the University of Lille, France. His research interests include parallel algorithms for combinatorial optimization and their applications to generic and real-world problems. Dr. Talbi leads the OPAC (Parallel Cooperative Optimization) research team; is the scientific leader of the INRIA DOLPHIN project dealing with distributed multi-objective optimization; and is active in several research and industrial projects, publications, and international conferences in the field.

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